The Stepwise Dimensionality Increasing (SDI) Index for High-Dimensional Data.
Alexander ThomasianLijuan ZhangPublished in: Comput. J. (2006)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- high dimensionality
- high dimensional spaces
- dimensionality curse
- lower dimensional
- high dimensional data sets
- low dimensional
- dimensional data
- subspace clustering
- similarity search
- nearest neighbor
- intrinsic dimension
- high dimensions
- data points
- dimension reduction
- data sets
- input space
- data distribution
- principal component analysis
- data analysis
- clustering high dimensional data
- linear discriminant analysis
- manifold learning
- nonlinear dimensionality reduction
- original data
- index structure
- small sample size
- high dimension
- euclidean distance
- feature extraction
- sparse representation
- decision trees
- intrinsic dimensionality
- high dimensional datasets
- spatial data
- pattern recognition
- subspace learning
- text data
- high dimensional feature space
- nearest neighbor search
- feature space
- r tree
- feature selection
- database management systems
- low dimensional structure
- variable weighting
- database